Andrew P. Creagh
Oxford, ENG, United Kingdom
Last Updated: 09/26/2026
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Found 15 publications
Daily steps are a predictor of, but perhaps not a modifiable risk factor for Parkinson's Disease: findings from the UK Biobank.
Journal: medRxiv : the preprint server for health sciences
Published: October 07, 2024
Self-Supervised Machine Learning to Characterize Step Counts from Wrist-Worn Accelerometers in the UK Biobank.
Journal: Medicine and science in sports and exercise
Published: May 20, 2024
Digital health technologies to strengthen patient-centred outcome assessment in clinical trials in inflammatory arthritis.
Journal: The Lancet. Rheumatology
Published: March 15, 2024
2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries.
Journal: Sensors (Basel, Switzerland)
Published: July 14, 2023
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.
Journal: NPJ digital medicine
Published: June 29, 2023
Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank.
Journal: medRxiv : the preprint server for health sciences
Published: May 19, 2023
Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review.
Journal: IEEE reviews in biomedical engineering
Published: May 15, 2023
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.
Journal: IEEE journal of biomedical and health informatics
Published: May 03, 2023
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.
Journal: NPJ digital medicine
Published: November 16, 2022
Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones.
Journal: IEEE open journal of engineering in medicine and biology
Published: February 07, 2022
Last Updated: 09/26/2026